diff --git a/.vscode/settings.json b/.vscode/settings.json
index e27585c..def288c 100644
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+++ b/.vscode/settings.json
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diff --git a/clean b/clean
new file mode 100644
index 0000000..31812c6
--- /dev/null
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+./.venv/lib/python3.12/site-packages/pandas/api/indexers/__pycache__/__init__.cpython-312.pyc
+./.venv/lib/python3.12/site-packages/pandas/api/interchange/__pycache__
+./.venv/lib/python3.12/site-packages/pandas/api/interchange/__pycache__/__init__.cpython-312.pyc
+./.venv/lib/python3.12/site-packages/pandas/_config/__pycache__
+./.venv/lib/python3.12/site-packages/pandas/_config/__pycache__/localization.cpython-312.pyc
+./.venv/lib/python3.12/site-packages/pandas/_config/__pycache__/__init__.cpython-312.pyc
+./.venv/lib/python3.12/site-packages/pandas/_config/__pycache__/dates.cpython-312.pyc
+./.venv/lib/python3.12/site-packages/pandas/_config/__pycache__/config.cpython-312.pyc
+./.venv/lib/python3.12/site-packages/pandas/_config/__pycache__/display.cpython-312.pyc
+./.venv/lib/python3.12/site-packages/pandas/_libs/tslibs/__pycache__
+./.venv/lib/python3.12/site-packages/pandas/_libs/tslibs/__pycache__/__init__.cpython-312.pyc
+./.venv/lib/python3.12/site-packages/pandas/_libs/window/__pycache__
+./.venv/lib/python3.12/site-packages/pandas/_libs/window/__pycache__/__init__.cpython-312.pyc
+./.venv/lib/python3.12/site-packages/pandas/_libs/__pycache__
+./.venv/lib/python3.12/site-packages/pandas/_libs/__pycache__/__init__.cpython-312.pyc
+./.venv/lib/python3.12/site-packages/mypy/__pycache__
+./.venv/lib/python3.12/site-packages/mypy/__pycache__/split_namespace.cpython-312.pyc
+./.venv/lib/python3.12/site-packages/mypy/__pycache__/__main__.cpython-312.pyc
+./.venv/lib/python3.12/site-packages/mypy/__pycache__/bogus_type.cpython-312.pyc
+./.venv/lib/python3.12/site-packages/mypy/__pycache__/version.cpython-312.pyc
+./.venv/lib/python3.12/site-packages/mypy/__pycache__/pyinfo.cpython-312.pyc
+./.venv/lib/python3.12/site-packages/yaml/__pycache__
+./.venv/lib/python3.12/site-packages/yaml/__pycache__/error.cpython-312.pyc
+./.venv/lib/python3.12/site-packages/yaml/__pycache__/resolver.cpython-312.pyc
+./.venv/lib/python3.12/site-packages/yaml/__pycache__/__init__.cpython-312.pyc
+./.venv/lib/python3.12/site-packages/yaml/__pycache__/reader.cpython-312.pyc
+./.venv/lib/python3.12/site-packages/yaml/__pycache__/nodes.cpython-312.pyc
+./.venv/lib/python3.12/site-packages/yaml/__pycache__/scanner.cpython-312.pyc
+./.venv/lib/python3.12/site-packages/yaml/__pycache__/serializer.cpython-312.pyc
+./.venv/lib/python3.12/site-packages/yaml/__pycache__/tokens.cpython-312.pyc
+./.venv/lib/python3.12/site-packages/yaml/__pycache__/constructor.cpython-312.pyc
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+./.venv/lib/python3.12/site-packages/yaml/__pycache__/loader.cpython-312.pyc
+./.venv/lib/python3.12/site-packages/yaml/__pycache__/representer.cpython-312.pyc
+./.venv/lib/python3.12/site-packages/yaml/__pycache__/parser.cpython-312.pyc
+./.venv/lib/python3.12/site-packages/yaml/__pycache__/emitter.cpython-312.pyc
+./.venv/lib/python3.12/site-packages/yaml/__pycache__/events.cpython-312.pyc
+./.venv/lib/python3.12/site-packages/yaml/__pycache__/dumper.cpython-312.pyc
+./.venv/lib/python3.12/site-packages/yaml/__pycache__/composer.cpython-312.pyc
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+./.venv/lib/python3.12/site-packages/pytest_benchmark/storage/__pycache__/file.cpython-312-pytest-8.3.4.pyc
+./.venv/lib/python3.12/site-packages/pytest_benchmark/storage/__pycache__/__init__.cpython-312-pytest-8.2.2.pyc
+./.venv/lib/python3.12/site-packages/pytest_benchmark/__pycache__
+./.venv/lib/python3.12/site-packages/pytest_benchmark/__pycache__/table.cpython-312-pytest-8.2.2.pyc
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+./.venv/lib/python3.12/site-packages/pytest_benchmark/__pycache__/plugin.cpython-312-pytest-8.2.2.pyc
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+./.venv/lib/python3.12/site-packages/pytest_benchmark/__pycache__/table.cpython-312-pytest-8.3.4.pyc
+./.venv/lib/python3.12/site-packages/pytest_benchmark/__pycache__/utils.cpython-312-pytest-8.3.4.pyc
+./.venv/lib/python3.12/site-packages/pytest_benchmark/__pycache__/__init__.cpython-312-pytest-8.3.4.pyc
+./.venv/lib/python3.12/site-packages/pytest_benchmark/__pycache__/timers.cpython-312-pytest-8.3.4.pyc
+./.venv/lib/python3.12/site-packages/pytest_benchmark/__pycache__/logger.cpython-312-pytest-8.3.4.pyc
+./.venv/lib/python3.12/site-packages/pytest_benchmark/__pycache__/compat.cpython-312-pytest-8.2.2.pyc
+./.venv/lib/python3.12/site-packages/pytest_benchmark/__pycache__/plugin.cpython-312-pytest-8.3.4.pyc
+./.venv/lib/python3.12/site-packages/pytest_benchmark/__pycache__/session.cpython-312-pytest-8.3.4.pyc
+./.venv/lib/python3.12/site-packages/pytest_benchmark/__pycache__/compat.cpython-312-pytest-8.3.4.pyc
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+./.venv/lib/python3.12/site-packages/pytest_benchmark/__pycache__/hookspec.cpython-312-pytest-8.2.2.pyc
+./.venv/lib/python3.12/site-packages/pytest_benchmark/__pycache__/stats.cpython-312-pytest-8.2.2.pyc
+./.venv/lib/python3.12/site-packages/pytest_benchmark/__pycache__/logger.cpython-312-pytest-8.2.2.pyc
+./.venv/lib/python3.12/site-packages/pytest_benchmark/__pycache__/stats.cpython-312-pytest-8.3.4.pyc
+./.venv/lib/python3.12/site-packages/pytest_benchmark/__pycache__/hookspec.cpython-312-pytest-8.3.4.pyc
+./.venv/lib/python3.12/site-packages/pytest_benchmark/__pycache__/timers.cpython-312-pytest-8.2.2.pyc
+./.venv/lib/python3.12/site-packages/pytest_benchmark/__pycache__/utils.cpython-312-pytest-8.2.2.pyc
+./.venv/lib/python3.12/site-packages/pytest_benchmark/__pycache__/__init__.cpython-312-pytest-8.2.2.pyc
+./tests/unit/resources/__pycache__
+./tests/unit/resources/__pycache__/__init__.cpython-312.pyc
+./tests/unit/resources/__pycache__/indicators.cpython-312.pyc
+./tests/unit/__pycache__
+./tests/unit/__pycache__/test_utils.cpython-312-pytest-8.3.4.pyc
+./tests/unit/__pycache__/test_backtest.cpython-312.pyc
+./tests/unit/__pycache__/__init__.cpython-312.pyc
+./tests/unit/__pycache__/test_backtest_broker.cpython-312.pyc
+./tests/unit/__pycache__/test_data.cpython-312-pytest-8.3.4.pyc
+./tests/unit/__pycache__/test_backtest_strategy.cpython-312-pytest-8.3.4.pyc
+./tests/unit/__pycache__/test_utils.cpython-312.pyc
+./tests/unit/__pycache__/test_backtest_indicator.cpython-312.pyc
+./tests/unit/__pycache__/conftest.cpython-312.pyc
+./tests/unit/__pycache__/test_backtest_indicator.cpython-312-pytest-8.3.4.pyc
+./tests/unit/__pycache__/test_backtest.cpython-312-pytest-8.3.4.pyc
+./tests/unit/__pycache__/conftest.cpython-312-pytest-8.3.4.pyc
+./tests/unit/__pycache__/test_backtest_broker.cpython-312-pytest-8.3.4.pyc
+./tests/unit/__pycache__/test_data.cpython-312.pyc
+./tests/unit/__pycache__/test_backtest_strategy.cpython-312.pyc
+./tests/integration/__pycache__
+./tests/integration/__pycache__/__init__.cpython-312.pyc
+./tests/integration/__pycache__/test_default.cpython-312-pytest-8.3.4.pyc
+./tests/integration/__pycache__/test_default.cpython-312.pyc
+./pytradebacktest/__pycache__
+./pytradebacktest/__pycache__/broker.cpython-312.pyc
+./pytradebacktest/__pycache__/backtest.cpython-312.pyc
+./pytradebacktest/__pycache__/__init__.cpython-312.pyc
+./pytradebacktest/__pycache__/data.cpython-312.pyc
+./pytradebacktest/__pycache__/utils.cpython-312.pyc
+./pytradebacktest/__pycache__/exceptions.cpython-312.pyc
+./pytradebacktest/__pycache__/order.cpython-312.pyc
diff --git a/lib/PyTrade b/lib/PyTrade
index 8a40dbd..12786ae 160000
--- a/lib/PyTrade
+++ b/lib/PyTrade
@@ -1 +1 @@
-Subproject commit 8a40dbd03403447226a3015676e4966b8675059d
+Subproject commit 12786aebc4a00df44737130af270d0e1d2013db8
diff --git a/makefiles/local.mk b/makefiles/local.mk
index ba00ce9..6f16fde 100644
--- a/makefiles/local.mk
+++ b/makefiles/local.mk
@@ -33,15 +33,20 @@ mypy-local:
 lint-local: ##@lint Run lint tools
 lint-local: bandit-local black-local flake8-local isort-local mypy-local
 
+.PHONY: clean-imports
+clean-imports: ##@local Remove unused imports
+clean-imports: 
+	autoflake --in-place --remove-all-unused-imports --recursive pytradebacktest tests
+
 .PHONY: reformat
 reformat: ##@local Reformat module
 reformat: files ?= ${SERVICE} tests
-reformat:
+reformat: clean-imports
 	${POETRY} run isort --overwrite-in-place ${files}
 	${POETRY} run black ${files}
 
 PHONY: test-local
 test-local: ##@local Run test suite
 test-local: venv
-	${POETRY} run pytest -s --tb=native --durations=5 --cov=${SERVICE} --cov-report=html tests
+	${POETRY} run pytest -s --tb=native --durations=5 --cov=${SERVICE} --cov-report=term-missing tests
 	${POETRY} run coverage report --fail-under=90
\ No newline at end of file
diff --git a/poetry.lock b/poetry.lock
index 06cc413..bf01e6f 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,5 +1,20 @@
 # This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
 
+[[package]]
+name = "autoflake"
+version = "2.3.1"
+description = "Removes unused imports and unused variables"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "autoflake-2.3.1-py3-none-any.whl", hash = "sha256:3ae7495db9084b7b32818b4140e6dc4fc280b712fb414f5b8fe57b0a8e85a840"},
+    {file = "autoflake-2.3.1.tar.gz", hash = "sha256:c98b75dc5b0a86459c4f01a1d32ac7eb4338ec4317a4469515ff1e687ecd909e"},
+]
+
+[package.dependencies]
+pyflakes = ">=3.0.0"
+tomli = {version = ">=2.0.1", markers = "python_version < \"3.11\""}
+
 [[package]]
 name = "backtesting"
 version = "0.3.3"
@@ -22,13 +37,13 @@ test = ["matplotlib", "scikit-learn", "scikit-optimize", "seaborn"]
 
 [[package]]
 name = "bandit"
-version = "1.8.0"
+version = "1.8.2"
 description = "Security oriented static analyser for python code."
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "bandit-1.8.0-py3-none-any.whl", hash = "sha256:b1a61d829c0968aed625381e426aa378904b996529d048f8d908fa28f6b13e38"},
-    {file = "bandit-1.8.0.tar.gz", hash = "sha256:b5bfe55a095abd9fe20099178a7c6c060f844bfd4fe4c76d28e35e4c52b9d31e"},
+    {file = "bandit-1.8.2-py3-none-any.whl", hash = "sha256:df6146ad73dd30e8cbda4e29689ddda48364e36ff655dbfc86998401fcf1721f"},
+    {file = "bandit-1.8.2.tar.gz", hash = "sha256:e00ad5a6bc676c0954669fe13818024d66b70e42cf5adb971480cf3b671e835f"},
 ]
 
 [package.dependencies]
@@ -878,13 +893,13 @@ files = [
 
 [[package]]
 name = "pygments"
-version = "2.19.0"
+version = "2.19.1"
 description = "Pygments is a syntax highlighting package written in Python."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pygments-2.19.0-py3-none-any.whl", hash = "sha256:4755e6e64d22161d5b61432c0600c923c5927214e7c956e31c23923c89251a9b"},
-    {file = "pygments-2.19.0.tar.gz", hash = "sha256:afc4146269910d4bdfabcd27c24923137a74d562a23a320a41a55ad303e19783"},
+    {file = "pygments-2.19.1-py3-none-any.whl", hash = "sha256:9ea1544ad55cecf4b8242fab6dd35a93bbce657034b0611ee383099054ab6d8c"},
+    {file = "pygments-2.19.1.tar.gz", hash = "sha256:61c16d2a8576dc0649d9f39e089b5f02bcd27fba10d8fb4dcc28173f7a45151f"},
 ]
 
 [package.extras]
@@ -914,13 +929,13 @@ dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments
 
 [[package]]
 name = "pytest-asyncio"
-version = "0.25.1"
+version = "0.25.2"
 description = "Pytest support for asyncio"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "pytest_asyncio-0.25.1-py3-none-any.whl", hash = "sha256:c84878849ec63ff2ca509423616e071ef9cd8cc93c053aa33b5b8fb70a990671"},
-    {file = "pytest_asyncio-0.25.1.tar.gz", hash = "sha256:79be8a72384b0c917677e00daa711e07db15259f4d23203c59012bcd989d4aee"},
+    {file = "pytest_asyncio-0.25.2-py3-none-any.whl", hash = "sha256:0d0bb693f7b99da304a0634afc0a4b19e49d5e0de2d670f38dc4bfa5727c5075"},
+    {file = "pytest_asyncio-0.25.2.tar.gz", hash = "sha256:3f8ef9a98f45948ea91a0ed3dc4268b5326c0e7bce73892acc654df4262ad45f"},
 ]
 
 [package.dependencies]
@@ -972,6 +987,7 @@ files = []
 develop = true
 
 [package.dependencies]
+autoflake = "^2.3.1"
 backtesting = "^0.3.3"
 multimethod = "^1.12"
 numpy = "^1.26.4"
@@ -1185,27 +1201,27 @@ files = [
 
 [[package]]
 name = "tzdata"
-version = "2024.2"
+version = "2025.1"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
 files = [
-    {file = "tzdata-2024.2-py2.py3-none-any.whl", hash = "sha256:a48093786cdcde33cad18c2555e8532f34422074448fbc874186f0abd79565cd"},
-    {file = "tzdata-2024.2.tar.gz", hash = "sha256:7d85cc416e9382e69095b7bdf4afd9e3880418a2413feec7069d533d6b4e31cc"},
+    {file = "tzdata-2025.1-py2.py3-none-any.whl", hash = "sha256:7e127113816800496f027041c570f50bcd464a020098a3b6b199517772303639"},
+    {file = "tzdata-2025.1.tar.gz", hash = "sha256:24894909e88cdb28bd1636c6887801df64cb485bd593f2fd83ef29075a81d694"},
 ]
 
 [[package]]
 name = "xyzservices"
-version = "2024.9.0"
+version = "2025.1.0"
 description = "Source of XYZ tiles providers"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "xyzservices-2024.9.0-py3-none-any.whl", hash = "sha256:776ae82b78d6e5ca63dd6a94abb054df8130887a4a308473b54a6bd364de8644"},
-    {file = "xyzservices-2024.9.0.tar.gz", hash = "sha256:68fb8353c9dbba4f1ff6c0f2e5e4e596bb9e1db7f94f4f7dfbcb26e25aa66fde"},
+    {file = "xyzservices-2025.1.0-py3-none-any.whl", hash = "sha256:fa599956c5ab32dad1689960b3bb08fdcdbe0252cc82d84fc60ae415dc648907"},
+    {file = "xyzservices-2025.1.0.tar.gz", hash = "sha256:5cdbb0907c20be1be066c6e2dc69c645842d1113a4e83e642065604a21f254ba"},
 ]
 
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "c28e465d2f7d12b2b6d71c9f702d542d60285ce7067c5433f25b4a4e711b1448"
+content-hash = "04e1fdcc5d2c4cd28ed0b8a4c2965cb10ed8de054d32d92915de51710b706bdb"
diff --git a/pyproject.toml b/pyproject.toml
index 16eb616..b004115 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -10,6 +10,7 @@ python = "^3.10"
 pytrade = {path = "lib/PyTrade", develop = true}
 pandas = "^2.2.2"
 pytest-asyncio = "^0.25.1"
+autoflake = "^2.3.1"
 
 
 [tool.poetry.group.dev.dependencies]
@@ -47,4 +48,8 @@ exclude_also = [
     "@(abc\\.)?abstractmethod",
 ]
 omit = [
-]
\ No newline at end of file
+]
+
+[tool.pytest.ini_options]
+addopts = ["--import-mode=importlib"]
+pythonpath = [ "." ]
\ No newline at end of file
diff --git a/pytradebacktest/backtest.py b/pytradebacktest/backtest.py
index dd9de9b..1726f31 100644
--- a/pytradebacktest/backtest.py
+++ b/pytradebacktest/backtest.py
@@ -1,10 +1,10 @@
 from typing import Type
 
+from pytrade.indicator import Indicator
 from pytrade.strategy import FxStrategy
 
 from pytradebacktest.broker import BacktestBroker
 from pytradebacktest.data import MarketData
-from pytradebacktest.strategy import BacktestStrategyWrapper
 
 
 class Backtest:
@@ -25,21 +25,31 @@ def __init__(
 
     async def run(self):
 
-        broker = BacktestBroker(self.data)
+        # Monkey patch indicators so their update does not
+        # need to recalculate after each increment, instead
+        # store their initial values from the full data context
+        # and then increment based on the current context length
+        def increment_indicator(self):
+            if not hasattr(self, "_backtest_values"):
+                self._backtest_values = self._values.copy()
+            self._values = self._backtest_values[: len(self._data)]
 
-        strategy = BacktestStrategyWrapper(broker, self.data, self.kstrategy)
+        Indicator._update = increment_indicator
+
+        broker = BacktestBroker(self.data, self.cash, self.comission, self.margin)
+
+        strategy = self.kstrategy(broker, self.data)
         strategy.init()
 
         while self.data.next():
 
             broker.next()
-            await strategy.next()
+            strategy.next()
 
         # Increment data points
         # Update indicators
         # Update trades
         # Claculate results/stats
-        pass
 
     def plot(self):
         pass
diff --git a/pytradebacktest/broker.py b/pytradebacktest/broker.py
index 24b8a0a..39cc24e 100644
--- a/pytradebacktest/broker.py
+++ b/pytradebacktest/broker.py
@@ -1,39 +1,269 @@
-from typing import Callable
+from math import copysign
+from typing import Optional
 
+import numpy as np
+from pandas import Timestamp
+from pytrade.instruments import MINUTES_MAP, Granularity, Instrument
 from pytrade.interfaces.broker import IBroker
-from pytrade.models.instruments import Candlestick, FxInstrument, Granularity
-from pytrade.models.order import OrderRequest
+from pytrade.interfaces.data import IInstrumentData
+from pytrade.models import Order, Position, Trade
 
 from pytradebacktest.data import MarketData
+from pytradebacktest.exceptions import OutOfMoneyError
+from pytradebacktest.order import OrderContext
 
 
 class BacktestBroker(IBroker):
 
-    def __init__(self, data: MarketData):
-        self.data = data
+    def __init__(
+        self,
+        data: MarketData,
+        cash,
+        commission,
+        margin,
+        trade_on_close=False,
+        hedging=False,
+        exclusive_orders=False,
+    ):
+        self._data = data
+        self._cash = cash
+        self._commission = commission
+        self._leverage = 1 / margin
+        self._trade_on_close = trade_on_close
+        self._hedging = hedging
+        self._exclusive_orders = exclusive_orders
+
+        self._equity = np.tile(np.nan, len(self._data))
+        self.orders: list[Order] = []
+        self.trades: list[Trade] = []
+        self.positions: list[Position] = []
+        self.closed_trades: list[Trade] = []
 
     @property
     def equity(self) -> float:
-        return 0
         return self._cash + sum(trade.pl for trade in self.trades)
 
     @property
     def margin_available(self) -> float:
-        return 0
-        # From https://github.com/QuantConnect/Lean/pull/3768
         margin_used = sum(trade.value / self._leverage for trade in self.trades)
         return max(0, self.equity - margin_used)
 
-    def order(self, order: OrderRequest):
-        pass
+    def order(self, order: Order):
+
+        # If exclusive orders (each new order auto-closes previous orders/position),
+        # cancel all non-contingent orders and close all open trades beforehand
+        if self._exclusive_orders:
+            for o in list(self.orders):
+                if not o.is_contingent:
+                    self.orders.remove(o)
+            for t in self.trades:
+                self.orders.insert(0, Order(t.instrument, -t.size))
+
+        self.orders.append(order)
 
     def subscribe(
-        self,
-        instrument: FxInstrument,
-        granularity: Granularity,
-        callback: Callable[[Candlestick], None],
-    ):
-        pass
+        self, instrument: Instrument, granularity: Granularity
+    ) -> IInstrumentData:
+        return self._data.get(instrument, granularity)
+
+    def get_position(self, instrument: Instrument) -> Position:
+        return Position(instrument, self.trades)
 
     def next(self):
-        pass
+        self._process_orders()
+        self._update_equity()
+
+    def _update_equity(self):
+        # Update equity
+        equity = self.equity
+        i = self._data.i
+        self._equity[i] = equity
+        # If equity is negative, set all to 0 and stop the simulation
+        if equity <= 0:
+            if self.margin_available > 0:
+                raise RuntimeError
+            for trade in self.trades:
+                _data = self._get_instrument_data(trade.instrument)
+                self._close_trade(trade, _data.Close.iloc[-1], _data.timestamp)
+            self._cash = 0
+            self._equity[i:] = 0
+            raise OutOfMoneyError
+
+    def _process_orders(self):
+
+        reprocess_orders = False
+        for order in list(self.orders):
+            _data = self._get_instrument_data(order.instrument)
+
+            with OrderContext(order, _data, self._trade_on_close) as ctx:
+                # Related SL/TP order already removed
+                if order not in self.orders:
+                    continue
+
+                if order.stop:
+                    stop_hit = self._evaluate_stop_order(ctx)
+                    if not stop_hit:
+                        continue
+
+                if order.limit:
+                    limit_hit, limit_hit_before_stop = self._evaluate_limit_order(ctx)
+                    if not limit_hit or limit_hit_before_stop:
+                        continue
+
+                if order.is_contingent:
+                    self._process_contingent_order(ctx)
+                else:
+                    new_trade = self._process_market_order(ctx)
+
+                    if new_trade and (
+                        order.stop_loss_on_fill or order.take_profit_on_fill
+                    ):
+                        # Need to reprocess since we created a contingent order that could
+                        # hit within the same bar
+                        reprocess_orders = True
+
+        if reprocess_orders:
+            self._process_orders()
+
+    def _evaluate_stop_order(self, ctx: OrderContext):
+        order: Order = ctx.order
+        stop_hit = False
+        stop_hit = (ctx.high > order.stop) if order.is_long else (ctx.low < order.stop)
+
+        return stop_hit
+
+    def _evaluate_limit_order(self, ctx: OrderContext):
+        order = ctx.order
+        limit_hit = False
+        limit_hit = ctx.low < order.limit if order.is_long else ctx.high > order.limit
+        limit_hit_before_stop = limit_hit and (
+            order.limit < (order.stop or -np.inf)
+            if order.is_long
+            else order.limit > (order.stop or np.inf)
+        )
+
+        return limit_hit, limit_hit_before_stop
+
+    def _process_contingent_order(self, ctx: OrderContext):
+        order = ctx.order
+        trade = ctx.order.parent_trade
+        size = int(copysign(min(abs(trade.size), abs(order.size)), order.size))
+
+        if trade in self.trades:
+            closed = self._reduce_trade(trade, size, ctx.entry_price, ctx.entry_time)
+            if closed:
+                self.orders.remove(order)
+
+    def _process_market_order(self, ctx: OrderContext):
+        order = ctx.order
+        _need_size = ctx.order.size
+        new_trade = False
+        if not self._hedging:
+            _need_size = self._update_position(ctx)
+
+        # IF we have the margin to cover the order
+        _insufficent_funds = (
+            abs(_need_size) * ctx.entry_price > self.margin_available * self._leverage
+        )
+        if _need_size and not _insufficent_funds:
+            self._open_trade(ctx)
+            new_trade = True
+
+        self.orders.remove(order)
+
+        return new_trade
+
+    def _update_position(self, ctx: OrderContext):
+        order = ctx.order
+        _need_size = ctx.order.size
+        # Fill position by FIFO closing/reducing existing opposite-facing trades.
+        # Existing trades are closed at unadjusted price, because the adjustment
+        # was already made when buying.
+        for trade in list(self.trades):
+            if trade.is_long and order.is_long:
+                continue
+
+            # Order is equal or larger so close trade
+            if abs(_need_size) >= abs(trade.size):
+                self._close_trade(trade, ctx.entry_price, ctx.timestmap)
+                _need_size += trade.size
+            else:
+                self._reduce_trade(trade, _need_size, ctx.entry_price, ctx.timestmap)
+                _need_size = 0
+
+            if not _need_size:
+                break
+
+        return _need_size
+
+    def _open_trade(self, ctx: OrderContext, tag: Optional[str] = None):
+        order = ctx.order
+        trade = Trade(
+            order.instrument, order.size, ctx.entry_price, ctx.entry_time, tag
+        )
+        self.trades.append(trade)
+
+        if order.take_profit_on_fill:
+            tp_order = Order(
+                order.instrument,
+                -order.size,
+                limit=order.take_profit_on_fill,
+                parent_trade=trade,
+            )
+            trade.tp = tp_order
+            self.orders.insert(0, tp_order)
+
+        if order.stop_loss_on_fill:
+            sl_order = Order(
+                order.instrument,
+                -order.size,
+                stop=order.stop_loss_on_fill,
+                parent_trade=trade,
+            )
+            trade.sl = sl_order
+            self.orders.insert(0, sl_order)
+
+    def _reduce_trade(
+        self, trade: Trade, size: int, price: float, timestamp: Timestamp
+    ):
+        size_left = trade.size + size
+        closed = False
+
+        if not size_left:
+            close_trade = trade
+            closed = True
+        else:
+            trade.reduce(size_left)
+            if trade.sl:
+                trade.sl.reduce(-size_left)
+            if trade.tp:
+                trade.tp.reduce(-size_left)
+
+            close_trade = Trade(
+                trade.instrument, size, trade.entry_price, trade.entry_time
+            )
+            self.trades.append(close_trade)
+
+        self._close_trade(close_trade, price, timestamp)
+        return closed
+
+    def _close_trade(self, trade: Trade, price: float, timestamp: Timestamp):
+        self.trades.remove(trade)
+        if trade.sl:
+            self.orders.remove(trade.sl)
+        if trade.tp:
+            self.orders.remove(trade.tp)
+
+        trade.close(price, timestamp)
+        self.closed_trades.append(trade)
+        self._cash += trade.pl
+
+    def _get_instrument_data(self, instrument: Instrument):
+        _instrument_data = [
+            src
+            for src in self._data._sources
+            if src.instrument == instrument and self._data.index == src.index
+        ]
+        _instrument_data.sort(key=lambda src: MINUTES_MAP[src.granularity])
+        _data = _instrument_data[0]
+        return _data
diff --git a/pytradebacktest/data.py b/pytradebacktest/data.py
index 42d416c..a59eb04 100644
--- a/pytradebacktest/data.py
+++ b/pytradebacktest/data.py
@@ -1,31 +1,87 @@
 from abc import abstractmethod
-from typing import Tuple
+from typing import Optional
 
 import numpy as np
 import pandas as pd
-from pandas import Timedelta, Timestamp
-from pytrade.models.instruments import (
-    CandleData,
-    FxInstrument,
-    Granularity,
-    InstrumentCandles,
-)
+from pandas import Index, Timestamp
+from pytrade.events.event import Event
+from pytrade.instruments import Granularity, Instrument
+from pytrade.interfaces.data import IDataContext, IInstrumentData
 
 from pytradebacktest.utils import load_csv
 
 
+class InstrumentData(IInstrumentData):
+
+    def __init__(
+        self, instrument: Instrument, granularity: Granularity, df: pd.DataFrame
+    ):
+        self.__df = df
+        self.__i = len(df) - 1
+        self.__pip: Optional[float] = None
+        self._instrument = instrument
+        self._granularity = granularity
+        self._update_event = Event()
+
+    def __len__(self):
+        return self.__i + 1
+
+    @property
+    def instrument(self) -> Instrument:
+        return self._instrument
+
+    @property
+    def granularity(self) -> Granularity:
+        return self._granularity
+
+    @property
+    def df(self) -> pd.DataFrame:
+        return (
+            self.__df.iloc[: self.__i + 1] if self.__i < len(self.__df) else self.__df
+        )
+
+    @property
+    def on_update(self) -> Event:
+        return self._update_event
+
+    @on_update.setter
+    def on_update(self, value: Event):
+        self._update_event = value
+
+    @property
+    def timestamp(self):
+        return self.index
+
+    @property
+    def prev_timestamp(self):
+        return self.__df.index[self.__i - 1]
+
+    @property
+    def i_index(self):
+        return self.__i
+
+    @property
+    def index(self) -> Timestamp:
+        return self.__df.index[self.__i]
+
+    @index.setter
+    def index(self, value: Timestamp):
+        if value in self.__df.index:
+            self.__i = self.__df.index.get_loc(value)  # type: ignore
+
+            self._update_event()
+
+
 class DataSource:
 
-    def __init__(self, instrument: FxInstrument | str, granularity: Granularity):
+    def __init__(self, instrument: Instrument, granularity: Granularity):
         self.instrument = instrument
         self.granularity = granularity
 
 
 class CsvDataSource(DataSource):
 
-    def __init__(
-        self, path: str, instrument: FxInstrument | str, granularity: Granularity
-    ):
+    def __init__(self, path: str, instrument: Instrument, granularity: Granularity):
         super().__init__(instrument, granularity)
         self.path = path
 
@@ -33,7 +89,7 @@ def __init__(
 class MarketDataLoader:
 
     @abstractmethod
-    def load(self) -> dict[Tuple[FxInstrument | str, Granularity], pd.DataFrame]:
+    def load(self) -> list[InstrumentData]:
         raise NotImplementedError
 
 
@@ -42,24 +98,31 @@ class CsvMarketDataLoader(MarketDataLoader):
     def __init__(self, sources: list[CsvDataSource]):
         self.sources = sources
 
-    def load(self) -> dict[Tuple[FxInstrument | str, Granularity], pd.DataFrame]:
-        _sources = dict()
+    def load(self) -> list[InstrumentData]:
+        _sources = []
 
         for source in self.sources:
             df = load_csv(source.path, parse_dates=["Timestamp"])
             df = df.set_index("Timestamp")
             df.replace("", np.nan, inplace=True)
             df.dropna(inplace=True)
-            _sources[(source.instrument, source.granularity)] = df
+            instrument_data = InstrumentData(source.instrument, source.granularity, df)
+            _sources.append(instrument_data)
 
         return _sources
 
 
-class MarketData:
+class MarketData(IDataContext):
 
     def __init__(self, loader: MarketDataLoader):
         self._sources = loader.load()
-        self._init_timeframe()
+        self._init_index()
+
+    def __new__(cls, *args, **kwargs):
+        if not hasattr(cls, "instance"):
+            cls.instance = super().__new__(cls)
+        # Need to handle case where instantiatied and different max size is provided
+        return cls.instance
 
     @property
     def universe(self):
@@ -69,118 +132,43 @@ def universe(self):
     def index(self):
         return self._index
 
-    def __len__(self):
-        span = self._end_index - self._start_index
-        return int(span / self._granularity)
-
-    def _init_timeframe(self):
-        _start = None
-        _granularity = None
-        _end = None
-        for df in self._sources.values():
-            start = df.index[0]
-            end = df.index[-1]
-            granularity = df.index[1] - df.index[0]
-
-            if start:
-                if not _start:
-                    _start = start
-                elif start < _start:
-                    _start = start
-
-            if end:
-                if not _end:
-                    _end = end
-                elif end > _end:
-                    _end = end
-
-            if granularity:
-                if not _granularity:
-                    _granularity = granularity
-                elif granularity < _granularity:
-                    _granularity = granularity
-
-        if not _start:
-            raise RuntimeError("Unable to determine start time for market data.")
-
-        if not _granularity:
-            raise RuntimeError(
-                "Unable to determine smallest granularity for market data."
-            )
-
-        if not _end:
-            raise RuntimeError("Unable to determine end time for market data.")
-
-        self._index: Timestamp = _start - _granularity
-        self._start_index = _start
-        self._granularity: Timedelta = _granularity
-        self._end_index: Timestamp = _end
-
-    def next(self):
-
-        self._index = self._index + self._granularity
-        return self._index <= self._end_index
-
-
-class BacktestInstrumentCandles(InstrumentCandles):
-
-    def __init__(
-        self, data: pd.DataFrame, instrument: FxInstrument, granularity: Granularity
-    ):
-        super().__init__(data, max_size=-1)
-        self._index = self._data.index[0]
-        self._i_index = 0
-
     @property
-    def index(self):
-        return self._index
+    def i(self) -> int:
+        return self._market_index.get_loc(self._index)
 
-    @index.setter
-    def index(self, value: pd.Timestamp):
-        if value in self._data.index:
-            self._index = value
-
-    @property
-    def i_index(self):
-        return self._data.index.get_loc(self._index)
+    def __len__(self):
+        return len(self._market_index)
 
-    # def next(self):
-    #     while self._i_index < len(self._data.index):
-    #         yield self._data[self._i_index]
-    #         self._i_index += 1
+    def _init_index(self):
+        _market_index: Index[Timestamp] = pd.Index([])
+        for source in self._sources:
+            _market_index = _market_index.union(source.df.index)
 
+        self._next = self.__next()
+        self._market_index = _market_index
+        self._index = _market_index[0]
 
-class BacktestCandleData(CandleData):
+    def next(self):
+        try:
+            result = next(self._next)
+        except StopIteration:
+            result = False
 
-    def __init__(self):
-        self._max_size = -1
-        self._data: dict[
-            tuple[FxInstrument, Granularity], BacktestInstrumentCandles
-        ] = {}
-        self._index = None
+        return result
 
-    def __new__(cls, *args, **kwargs):
-        if not hasattr(cls, "instance"):
-            cls.instance = super().__new__(cls)
-        # Need to handle case where instantiatied and different max size is provided
-        return cls.instance
+    def __next(self):
 
-    @property
-    def index(self):
-        return self._index
+        for idx in self._market_index:
+            self._index = idx
+            for source in self._sources:
+                source.index = idx
+            yield True
 
-    @index.setter
-    def index(self, value: pd.Timestamp):
-        self._index = value
-        for candles in self._data.values():
-            candles.index = self._index
+        yield False
 
-    def populate(
-        self, df: pd.DataFrame, instrument: FxInstrument, granularity: Granularity
-    ):
-        key = (instrument, granularity)
-        instrument_candles: BacktestInstrumentCandles = self._data.get(
-            key,
-            BacktestInstrumentCandles(df, instrument, granularity),
+    def get(self, instrument: Instrument, granularity: Granularity) -> IInstrumentData:
+        return next(
+            src
+            for src in self._sources
+            if src.instrument == instrument and src.granularity == granularity
         )
-        self._data[key] = instrument_candles
diff --git a/pytradebacktest/exceptions.py b/pytradebacktest/exceptions.py
index e69de29..8c4ef6a 100644
--- a/pytradebacktest/exceptions.py
+++ b/pytradebacktest/exceptions.py
@@ -0,0 +1,2 @@
+class OutOfMoneyError(Exception):
+    pass
diff --git a/pytradebacktest/order.py b/pytradebacktest/order.py
new file mode 100644
index 0000000..84b89d5
--- /dev/null
+++ b/pytradebacktest/order.py
@@ -0,0 +1,74 @@
+import numpy as np
+from pytrade.broker import Order
+
+from pytradebacktest.data import InstrumentData
+
+
+class OrderContext:
+
+    def __init__(self, order: Order, data: InstrumentData, trade_on_close: bool):
+        self._order = order
+        self._data = data
+        self._trade_on_close = trade_on_close
+
+    def __enter__(self):
+        return self
+
+    def __exit__(self, exc_type, exc_val, exc_tb):
+        pass
+
+    @property
+    def order(self):
+        return self._order
+
+    @property
+    def data(self):
+        return self._data
+
+    @property
+    def open(self):
+        return self._data.Open.iloc[-1]
+
+    @property
+    def high(self):
+        return self._data.High.iloc[-1]
+
+    @property
+    def low(self):
+        return self._data.Low.iloc[-1]
+
+    @property
+    def close(self):
+        return self._data.Close.iloc[-1]
+
+    @property
+    def prev_close(self):
+        return self._data.Close.iloc[-1]
+
+    @property
+    def timestmap(self):
+        return self._data.timestamp
+
+    @property
+    def entry_time(self):
+        return (
+            self._data.prev_timestamp
+            if self.is_market_order and self._trade_on_close
+            else self._data.timestamp
+        )
+
+    @property
+    def is_market_order(self):
+        return not self.order.limit and not self.order.stop
+
+    @property
+    def entry_price(self):
+        if self.order.limit:
+            func = min if self.order.is_long else max
+            price = func(self.order.stop or self.open, self.order.limit)
+        else:
+            price = self.prev_close if self._trade_on_close else self.open
+            func = max if self.order.is_long else min
+            stop_default = -np.inf if self.order.is_long else np.inf
+            price = func(price, self.order.stop or stop_default)
+        return price
diff --git a/pytradebacktest/strategy.py b/pytradebacktest/strategy.py
deleted file mode 100644
index e83929c..0000000
--- a/pytradebacktest/strategy.py
+++ /dev/null
@@ -1,67 +0,0 @@
-from typing import Type
-
-from pytrade.interfaces.broker import IBroker
-from pytrade.models.indicator import Indicator
-from pytrade.strategy import FxStrategy
-
-from pytradebacktest.data import (
-    BacktestCandleData,
-    BacktestInstrumentCandles,
-    MarketData,
-)
-
-
-class BacktestStrategyWrapper:
-
-    def __init__(self, broker: IBroker, data: MarketData, kstrategy: Type[FxStrategy]):
-        self._data = data
-        self._data_context = BacktestCandleData()
-        self._strategy = kstrategy(broker, self._data_context)
-        self._current_index = None
-
-    def init(self):
-        for key, df in self._data.universe.items():
-            self._data_context.populate(df, key[0], key[1])
-
-        self._strategy.init()
-
-        self._indicators = {
-            attr: indicator
-            for attr, indicator in self._strategy.__dict__.items()
-            if isinstance(indicator, Indicator)
-        }.items()
-
-        self._indicator_values = {
-            attr: indicator._values for attr, indicator in self._indicators
-        }
-
-        self._indicator_i_index = {attr: None for attr, indicator in self._indicators}
-
-    async def next(self) -> None:
-
-        self._data_context.index = self._data.index
-
-        updates = []
-        # Incrememnt indicators
-        for attr, indicator in self._indicators:
-            indicator_updated = False
-            if isinstance(indicator._data, BacktestInstrumentCandles):
-                previous_i_index = self._indicator_i_index.get(attr)
-                if previous_i_index != indicator._data.i_index:
-                    indicator._values = self._indicator_values[attr][
-                        : indicator._data.i_index + 1
-                    ]
-                    self._indicator_i_index[attr] = indicator._data.i_index
-                    indicator_updated = True
-
-            updates.append(indicator_updated)
-
-        all_updates_received = all(updates)
-
-        # Currently making sure all indicators have been updated before calling next
-        # This aligns with the pending update logic when the strategy is event
-        # driven in live trading.  If that behavior changes this will also need to
-        # change.
-        if all_updates_received:
-            # Call _next directly so we don't wait for pending updates
-            self._strategy._next()
diff --git a/tests/unit/assets/EURGBP-2024-05_1Min.csv b/tests/unit/assets/EURGBP-2024-05_1Min.csv
index 15948e3..6106104 100644
--- a/tests/unit/assets/EURGBP-2024-05_1Min.csv
+++ b/tests/unit/assets/EURGBP-2024-05_1Min.csv
@@ -1,4 +1,4 @@
-Timestamp,open,high,low,close
+Timestamp,Open,High,Low,Close
 2024-05-01 00:00:00,0.85401,0.85405,0.85397,0.85403
 2024-05-01 00:01:00,0.85402,0.85404,0.85392,0.85403
 2024-05-01 00:02:00,0.85397,0.85403,0.85396,0.854
diff --git a/tests/unit/assets/EURGBP-2024-05_5Min.csv b/tests/unit/assets/EURGBP-2024-05_5Min.csv
index bb0f6e2..802923c 100644
--- a/tests/unit/assets/EURGBP-2024-05_5Min.csv
+++ b/tests/unit/assets/EURGBP-2024-05_5Min.csv
@@ -1,4 +1,4 @@
-Timestamp,open,high,low,close
+Timestamp,Open,High,Low,Close
 2024-05-01 00:00:00,0.85401,0.85405,0.85391,0.85396
 2024-05-01 00:05:00,0.85396,0.85397,0.85389,0.85392
 2024-05-01 00:10:00,0.85391,0.85397,0.85386,0.85396
diff --git a/tests/unit/assets/EURJPY-2024-05_1Min.csv b/tests/unit/assets/EURJPY-2024-05_1Min.csv
index d7d407b..0b4286b 100644
--- a/tests/unit/assets/EURJPY-2024-05_1Min.csv
+++ b/tests/unit/assets/EURJPY-2024-05_1Min.csv
@@ -1,4 +1,4 @@
-Timestamp,open,high,low,close
+Timestamp,Open,High,Low,Close
 2024-05-01 00:00:00,168.263,168.274,168.201,168.229
 2024-05-01 00:01:00,168.247,168.261,168.217,168.222
 2024-05-01 00:02:00,168.222,168.242,168.191,168.213
diff --git a/tests/unit/assets/EURJPY-2024-05_5Min.csv b/tests/unit/assets/EURJPY-2024-05_5Min.csv
index 55e674f..681c392 100644
--- a/tests/unit/assets/EURJPY-2024-05_5Min.csv
+++ b/tests/unit/assets/EURJPY-2024-05_5Min.csv
@@ -1,4 +1,4 @@
-Timestamp,open,high,low,close
+Timestamp,Open,High,Low,Close
 2024-05-01 00:00:00,168.263,168.274,168.177,168.226
 2024-05-01 00:05:00,168.24,168.285,168.2,168.256
 2024-05-01 00:10:00,168.274,168.275,168.201,168.242
diff --git a/tests/unit/assets/GBPUSD-2024-05_1Min.csv b/tests/unit/assets/GBPUSD-2024-05_1Min.csv
index 0ce95bd..0acc55d 100644
--- a/tests/unit/assets/GBPUSD-2024-05_1Min.csv
+++ b/tests/unit/assets/GBPUSD-2024-05_1Min.csv
@@ -1,4 +1,4 @@
-Timestamp,open,high,low,close
+Timestamp,Open,High,Low,Close
 2024-05-01 00:00:00,1.24883,1.24896,1.24878,1.24893
 2024-05-01 00:01:00,1.24894,1.24904,1.24883,1.24888
 2024-05-01 00:02:00,1.24884,1.24894,1.24884,1.24889
@@ -1261,12 +1261,12 @@ Timestamp,open,high,low,close
 2024-05-01 20:59:00,1.25268,1.25293,1.25223,1.25231
 2024-05-01 21:00:00,1.25222,1.25222,1.25088,1.25088
 2024-05-01 21:01:00,1.25095,1.25095,1.25085,1.25085
-2024-05-01 21:02:00,,,,
-2024-05-01 21:03:00,,,,
+2024-05-01 21:02:00,1.25095,1.25095,1.25085,1.25085
+2024-05-01 21:03:00,1.25095,1.25095,1.25085,1.25085
 2024-05-01 21:04:00,1.25061,1.25061,1.25061,1.25061
 2024-05-01 21:05:00,1.25085,1.25085,1.25085,1.25085
-2024-05-01 21:06:00,,,,
-2024-05-01 21:07:00,,,,
+2024-05-01 21:06:00,1.25085,1.25085,1.25085,1.25085
+2024-05-01 21:07:00,1.25085,1.25085,1.25085,1.25085
 2024-05-01 21:08:00,1.25097,1.25109,1.25097,1.25108
 2024-05-01 21:09:00,1.25096,1.25096,1.25096,1.25096
 2024-05-01 21:10:00,1.25137,1.25143,1.25059,1.25059
@@ -2701,13 +2701,13 @@ Timestamp,open,high,low,close
 2024-05-02 20:59:00,1.25343,1.25349,1.25294,1.25294
 2024-05-02 21:00:00,1.25339,1.25339,1.24958,1.25022
 2024-05-02 21:01:00,1.24958,1.2504,1.24958,1.2504
-2024-05-02 21:02:00,,,,
-2024-05-02 21:03:00,,,,
+2024-05-02 21:02:00,1.24958,1.2504,1.24958,1.2504
+2024-05-02 21:03:00,1.24958,1.2504,1.24958,1.2504
 2024-05-02 21:04:00,1.25164,1.25164,1.25164,1.25164
 2024-05-02 21:05:00,1.25123,1.25172,1.25122,1.25172
 2024-05-02 21:06:00,1.25173,1.25173,1.25118,1.25156
 2024-05-02 21:07:00,1.25163,1.25163,1.25155,1.25156
-2024-05-02 21:08:00,,,,
+2024-05-02 21:08:00,1.25163,1.25163,1.25155,1.25156
 2024-05-02 21:09:00,1.25159,1.25159,1.25156,1.25156
 2024-05-02 21:10:00,1.2505,1.25235,1.2505,1.25203
 2024-05-02 21:11:00,1.25235,1.25235,1.25203,1.25228
@@ -7020,15 +7020,15 @@ Timestamp,open,high,low,close
 2024-05-05 20:58:00,,,,
 2024-05-05 20:59:00,,,,
 2024-05-05 21:00:00,1.25276,1.25276,1.25275,1.25275
-2024-05-05 21:01:00,,,,
-2024-05-05 21:02:00,,,,
-2024-05-05 21:03:00,,,,
-2024-05-05 21:04:00,,,,
+2024-05-05 21:01:00,1.25276,1.25276,1.25275,1.25275
+2024-05-05 21:02:00,1.25276,1.25276,1.25275,1.25275
+2024-05-05 21:03:00,1.25276,1.25276,1.25275,1.25275
+2024-05-05 21:04:00,1.25276,1.25276,1.25275,1.25275
 2024-05-05 21:05:00,1.25257,1.25257,1.25221,1.25221
 2024-05-05 21:06:00,1.25412,1.25442,1.25412,1.25416
-2024-05-05 21:07:00,,,,
-2024-05-05 21:08:00,,,,
-2024-05-05 21:09:00,,,,
+2024-05-05 21:07:00,1.25412,1.25442,1.25412,1.25416
+2024-05-05 21:08:00,1.25412,1.25442,1.25412,1.25416
+2024-05-05 21:09:00,1.25412,1.25442,1.25412,1.25416
 2024-05-05 21:10:00,1.2522,1.25221,1.2522,1.25221
 2024-05-05 21:11:00,1.2522,1.25221,1.2522,1.25221
 2024-05-05 21:12:00,1.2522,1.25221,1.2522,1.25221
@@ -8462,7 +8462,7 @@ Timestamp,open,high,low,close
 2024-05-06 21:00:00,1.25603,1.25603,1.25502,1.25502
 2024-05-06 21:01:00,1.25488,1.25502,1.25488,1.25502
 2024-05-06 21:02:00,1.25504,1.25504,1.25504,1.25504
-2024-05-06 21:03:00,,,,
+2024-05-06 21:03:00,1.25504,1.25504,1.25504,1.25504
 2024-05-06 21:04:00,1.25504,1.25504,1.25504,1.25504
 2024-05-06 21:05:00,1.25504,1.25548,1.25504,1.25504
 2024-05-06 21:06:00,1.25476,1.25476,1.25448,1.25448
@@ -9901,10 +9901,10 @@ Timestamp,open,high,low,close
 2024-05-07 20:59:00,1.25075,1.25082,1.25039,1.25073
 2024-05-07 21:00:00,1.25042,1.25043,1.24966,1.24966
 2024-05-07 21:01:00,1.24973,1.24973,1.24973,1.24973
-2024-05-07 21:02:00,,,,
-2024-05-07 21:03:00,,,,
-2024-05-07 21:04:00,,,,
-2024-05-07 21:05:00,,,,
+2024-05-07 21:02:00,1.24973,1.24973,1.24973,1.24973
+2024-05-07 21:03:00,1.24973,1.24973,1.24973,1.24973
+2024-05-07 21:04:00,1.24973,1.24973,1.24973,1.24973
+2024-05-07 21:05:00,1.24973,1.24973,1.24973,1.24973
 2024-05-07 21:06:00,1.24959,1.24959,1.24959,1.24959
 2024-05-07 21:07:00,1.24966,1.24966,1.24966,1.24966
 2024-05-07 21:08:00,1.24959,1.24966,1.24959,1.24966
@@ -11343,12 +11343,12 @@ Timestamp,open,high,low,close
 2024-05-08 21:01:00,1.24758,1.2481,1.24758,1.24758
 2024-05-08 21:02:00,1.24764,1.24764,1.24764,1.24764
 2024-05-08 21:03:00,1.24856,1.24856,1.24856,1.24856
-2024-05-08 21:04:00,,,,
+2024-05-08 21:04:00,1.24856,1.24856,1.24856,1.24856
 2024-05-08 21:05:00,1.24856,1.24856,1.24852,1.24852
 2024-05-08 21:06:00,1.24854,1.24854,1.24854,1.24854
 2024-05-08 21:07:00,1.24871,1.24871,1.24849,1.24849
 2024-05-08 21:08:00,1.24851,1.24859,1.24851,1.24859
-2024-05-08 21:09:00,,,,
+2024-05-08 21:09:00,1.24851,1.24859,1.24851,1.24859
 2024-05-08 21:10:00,1.2489,1.2489,1.24848,1.24859
 2024-05-08 21:11:00,1.2489,1.24897,1.24859,1.24896
 2024-05-08 21:12:00,1.24883,1.24897,1.24878,1.24896
@@ -17100,15 +17100,15 @@ Timestamp,open,high,low,close
 2024-05-12 20:58:00,,,,
 2024-05-12 20:59:00,,,,
 2024-05-12 21:00:00,1.25117,1.25117,1.25062,1.25062
-2024-05-12 21:01:00,,,,
-2024-05-12 21:02:00,,,,
-2024-05-12 21:03:00,,,,
-2024-05-12 21:04:00,,,,
-2024-05-12 21:05:00,,,,
+2024-05-12 21:01:00,1.25117,1.25117,1.25062,1.25062
+2024-05-12 21:02:00,1.25117,1.25117,1.25062,1.25062
+2024-05-12 21:03:00,1.25117,1.25117,1.25062,1.25062
+2024-05-12 21:04:00,1.25117,1.25117,1.25062,1.25062
+2024-05-12 21:05:00,1.25117,1.25117,1.25062,1.25062
 2024-05-12 21:06:00,1.25073,1.25073,1.25073,1.25073
-2024-05-12 21:07:00,,,,
-2024-05-12 21:08:00,,,,
-2024-05-12 21:09:00,,,,
+2024-05-12 21:07:00,1.25073,1.25073,1.25073,1.25073
+2024-05-12 21:08:00,1.25073,1.25073,1.25073,1.25073
+2024-05-12 21:09:00,1.25073,1.25073,1.25073,1.25073
 2024-05-12 21:10:00,1.25072,1.25073,1.25072,1.25073
 2024-05-12 21:11:00,1.25072,1.25073,1.25072,1.25073
 2024-05-12 21:12:00,1.25072,1.25073,1.25072,1.25073
@@ -18541,9 +18541,9 @@ Timestamp,open,high,low,close
 2024-05-13 20:59:00,1.25591,1.25591,1.25547,1.25579
 2024-05-13 21:00:00,1.2556,1.2556,1.25535,1.25535
 2024-05-13 21:01:00,1.25536,1.25544,1.25522,1.25544
-2024-05-13 21:02:00,,,,
+2024-05-13 21:02:00,1.25536,1.25544,1.25522,1.25544
 2024-05-13 21:03:00,1.25549,1.25549,1.25549,1.25549
-2024-05-13 21:04:00,,,,
+2024-05-13 21:04:00,1.25549,1.25549,1.25549,1.25549
 2024-05-13 21:05:00,1.25534,1.25534,1.25534,1.25534
 2024-05-13 21:06:00,1.25546,1.25551,1.25526,1.2553
 2024-05-13 21:07:00,1.25531,1.25539,1.25531,1.25539
@@ -19980,14 +19980,14 @@ Timestamp,open,high,low,close
 2024-05-14 20:58:00,1.25908,1.25915,1.25868,1.25883
 2024-05-14 20:59:00,1.25887,1.25918,1.2586,1.25869
 2024-05-14 21:00:00,1.25889,1.25889,1.25714,1.25714
-2024-05-14 21:01:00,,,,
-2024-05-14 21:02:00,,,,
+2024-05-14 21:01:00,1.25889,1.25889,1.25714,1.25714
+2024-05-14 21:02:00,1.25889,1.25889,1.25714,1.25714
 2024-05-14 21:03:00,1.25748,1.25748,1.25748,1.25748
-2024-05-14 21:04:00,,,,
+2024-05-14 21:04:00,1.25748,1.25748,1.25748,1.25748
 2024-05-14 21:05:00,1.25716,1.25716,1.25716,1.25716
-2024-05-14 21:06:00,,,,
-2024-05-14 21:07:00,,,,
-2024-05-14 21:08:00,,,,
+2024-05-14 21:06:00,1.25716,1.25716,1.25716,1.25716
+2024-05-14 21:07:00,1.25716,1.25716,1.25716,1.25716
+2024-05-14 21:08:00,1.25716,1.25716,1.25716,1.25716
 2024-05-14 21:09:00,1.25753,1.25753,1.25716,1.25753
 2024-05-14 21:10:00,1.25774,1.25774,1.25715,1.25722
 2024-05-14 21:11:00,1.25721,1.25722,1.25721,1.25722
@@ -21420,14 +21420,14 @@ Timestamp,open,high,low,close
 2024-05-15 20:58:00,1.26847,1.26853,1.26804,1.26851
 2024-05-15 20:59:00,1.26821,1.26853,1.26808,1.26828
 2024-05-15 21:00:00,1.26693,1.26693,1.26693,1.26693
-2024-05-15 21:01:00,,,,
-2024-05-15 21:02:00,,,,
+2024-05-15 21:01:00,1.26693,1.26693,1.26693,1.26693
+2024-05-15 21:02:00,1.26693,1.26693,1.26693,1.26693
 2024-05-15 21:03:00,1.26729,1.26729,1.26729,1.26729
 2024-05-15 21:04:00,1.26721,1.26721,1.26721,1.26721
-2024-05-15 21:05:00,,,,
-2024-05-15 21:06:00,,,,
-2024-05-15 21:07:00,,,,
-2024-05-15 21:08:00,,,,
+2024-05-15 21:05:00,1.26721,1.26721,1.26721,1.26721
+2024-05-15 21:06:00,1.26721,1.26721,1.26721,1.26721
+2024-05-15 21:07:00,1.26721,1.26721,1.26721,1.26721
+2024-05-15 21:08:00,1.26721,1.26721,1.26721,1.26721
 2024-05-15 21:09:00,1.26747,1.26747,1.26746,1.26746
 2024-05-15 21:10:00,1.26743,1.26747,1.26687,1.26721
 2024-05-15 21:11:00,1.26687,1.26721,1.26687,1.26721
@@ -22863,12 +22863,12 @@ Timestamp,open,high,low,close
 2024-05-16 21:01:00,1.26613,1.26613,1.26613,1.26613
 2024-05-16 21:02:00,1.26626,1.26626,1.26626,1.26626
 2024-05-16 21:03:00,1.26613,1.26626,1.26613,1.26613
-2024-05-16 21:04:00,,,,
-2024-05-16 21:05:00,,,,
-2024-05-16 21:06:00,,,,
+2024-05-16 21:04:00,1.26613,1.26626,1.26613,1.26613
+2024-05-16 21:05:00,1.26613,1.26626,1.26613,1.26613
+2024-05-16 21:06:00,1.26613,1.26626,1.26613,1.26613
 2024-05-16 21:07:00,1.26619,1.26619,1.26619,1.26619
-2024-05-16 21:08:00,,,,
-2024-05-16 21:09:00,,,,
+2024-05-16 21:08:00,1.26619,1.26619,1.26619,1.26619
+2024-05-16 21:09:00,1.26619,1.26619,1.26619,1.26619
 2024-05-16 21:10:00,1.26618,1.26619,1.26618,1.26619
 2024-05-16 21:11:00,1.26618,1.26619,1.26618,1.26619
 2024-05-16 21:12:00,1.26618,1.26676,1.26618,1.26676
@@ -27183,12 +27183,12 @@ Timestamp,open,high,low,close
 2024-05-19 21:01:00,1.26797,1.26797,1.26797,1.26797
 2024-05-19 21:02:00,1.26798,1.2683,1.26798,1.2683
 2024-05-19 21:03:00,1.26831,1.26831,1.26831,1.26831
-2024-05-19 21:04:00,,,,
+2024-05-19 21:04:00,1.26831,1.26831,1.26831,1.26831
 2024-05-19 21:05:00,1.2682,1.26831,1.2682,1.26831
 2024-05-19 21:06:00,1.2682,1.2682,1.2682,1.2682
 2024-05-19 21:07:00,1.2682,1.2682,1.2682,1.2682
-2024-05-19 21:08:00,,,,
-2024-05-19 21:09:00,,,,
+2024-05-19 21:08:00,1.2682,1.2682,1.2682,1.2682
+2024-05-19 21:09:00,1.2682,1.2682,1.2682,1.2682
 2024-05-19 21:10:00,1.26819,1.2683,1.26819,1.2683
 2024-05-19 21:11:00,1.26829,1.26831,1.26829,1.26831
 2024-05-19 21:12:00,1.2683,1.26831,1.2683,1.26831
@@ -28621,9 +28621,9 @@ Timestamp,open,high,low,close
 2024-05-20 20:59:00,1.27054,1.27061,1.27013,1.2703
 2024-05-20 21:00:00,1.2694,1.2694,1.26901,1.26924
 2024-05-20 21:01:00,1.26925,1.27007,1.26925,1.27007
-2024-05-20 21:02:00,,,,
-2024-05-20 21:03:00,,,,
-2024-05-20 21:04:00,,,,
+2024-05-20 21:02:00,1.26925,1.27007,1.26925,1.27007
+2024-05-20 21:03:00,1.26925,1.27007,1.26925,1.27007
+2024-05-20 21:04:00,1.26925,1.27007,1.26925,1.27007
 2024-05-20 21:05:00,1.27007,1.27007,1.27007,1.27007
 2024-05-20 21:06:00,1.26981,1.27001,1.26979,1.27001
 2024-05-20 21:07:00,1.27001,1.27007,1.26999,1.27
@@ -30061,13 +30061,13 @@ Timestamp,open,high,low,close
 2024-05-21 20:59:00,1.27058,1.27089,1.27041,1.27055
 2024-05-21 21:00:00,1.27056,1.27056,1.26945,1.26947
 2024-05-21 21:01:00,1.26954,1.26956,1.26954,1.26956
-2024-05-21 21:02:00,,,,
-2024-05-21 21:03:00,,,,
-2024-05-21 21:04:00,,,,
+2024-05-21 21:02:00,1.26954,1.26956,1.26954,1.26956
+2024-05-21 21:03:00,1.26954,1.26956,1.26954,1.26956
+2024-05-21 21:04:00,1.26954,1.26956,1.26954,1.26956
 2024-05-21 21:05:00,1.26962,1.2698,1.26956,1.26971
 2024-05-21 21:06:00,1.26968,1.26974,1.26956,1.26968
 2024-05-21 21:07:00,1.26972,1.26985,1.26972,1.26982
-2024-05-21 21:08:00,,,,
+2024-05-21 21:08:00,1.26972,1.26985,1.26972,1.26982
 2024-05-21 21:09:00,1.26989,1.26991,1.26989,1.26991
 2024-05-21 21:10:00,1.27005,1.27026,1.26962,1.26963
 2024-05-21 21:11:00,1.26965,1.26969,1.26962,1.26969
@@ -31501,13 +31501,13 @@ Timestamp,open,high,low,close
 2024-05-22 20:59:00,1.27137,1.2717,1.27137,1.27148
 2024-05-22 21:00:00,1.27148,1.27148,1.27092,1.27096
 2024-05-22 21:01:00,1.27102,1.27121,1.27102,1.27121
-2024-05-22 21:02:00,,,,
-2024-05-22 21:03:00,,,,
-2024-05-22 21:04:00,,,,
-2024-05-22 21:05:00,,,,
+2024-05-22 21:02:00,1.27102,1.27121,1.27102,1.27121
+2024-05-22 21:03:00,1.27102,1.27121,1.27102,1.27121
+2024-05-22 21:04:00,1.27102,1.27121,1.27102,1.27121
+2024-05-22 21:05:00,1.27102,1.27121,1.27102,1.27121
 2024-05-22 21:06:00,1.27127,1.27127,1.27127,1.27127
 2024-05-22 21:07:00,1.27117,1.27117,1.27117,1.27117
-2024-05-22 21:08:00,,,,
+2024-05-22 21:08:00,1.27117,1.27117,1.27117,1.27117
 2024-05-22 21:09:00,1.2712,1.27131,1.2712,1.27131
 2024-05-22 21:10:00,1.27109,1.27131,1.27109,1.27128
 2024-05-22 21:11:00,1.27113,1.27134,1.27113,1.27134
@@ -32943,11 +32943,11 @@ Timestamp,open,high,low,close
 2024-05-23 21:01:00,1.26829,1.26829,1.26829,1.26829
 2024-05-23 21:02:00,1.26818,1.26818,1.26818,1.26818
 2024-05-23 21:03:00,1.26818,1.26818,1.26818,1.26818
-2024-05-23 21:04:00,,,,
-2024-05-23 21:05:00,,,,
+2024-05-23 21:04:00,1.26818,1.26818,1.26818,1.26818
+2024-05-23 21:05:00,1.26818,1.26818,1.26818,1.26818
 2024-05-23 21:06:00,1.26831,1.26831,1.26831,1.26831
 2024-05-23 21:07:00,1.26831,1.26831,1.26831,1.26831
-2024-05-23 21:08:00,,,,
+2024-05-23 21:08:00,1.26831,1.26831,1.26831,1.26831
 2024-05-23 21:09:00,1.26861,1.26861,1.26851,1.26852
 2024-05-23 21:10:00,1.26876,1.26876,1.26835,1.26852
 2024-05-23 21:11:00,1.26876,1.26876,1.26852,1.26852
@@ -37260,12 +37260,12 @@ Timestamp,open,high,low,close
 2024-05-26 20:58:00,,,,
 2024-05-26 20:59:00,,,,
 2024-05-26 21:00:00,1.27273,1.27273,1.27273,1.27273
-2024-05-26 21:01:00,,,,
-2024-05-26 21:02:00,,,,
+2024-05-26 21:01:00,1.27273,1.27273,1.27273,1.27273
+2024-05-26 21:02:00,1.27273,1.27273,1.27273,1.27273
 2024-05-26 21:03:00,1.27285,1.27285,1.27285,1.27285
-2024-05-26 21:04:00,,,,
+2024-05-26 21:04:00,1.27285,1.27285,1.27285,1.27285
 2024-05-26 21:05:00,1.27239,1.27285,1.27201,1.27201
-2024-05-26 21:06:00,,,,
+2024-05-26 21:06:00,1.27239,1.27285,1.27201,1.27201
 2024-05-26 21:07:00,1.27223,1.27224,1.27223,1.27224
 2024-05-26 21:08:00,1.27225,1.27236,1.27225,1.27236
 2024-05-26 21:09:00,1.27237,1.27238,1.27237,1.27238
@@ -40140,9 +40140,9 @@ Timestamp,open,high,low,close
 2024-05-28 20:58:00,1.27568,1.27614,1.27563,1.2757
 2024-05-28 20:59:00,1.27613,1.27614,1.27564,1.27583
 2024-05-28 21:00:00,1.27509,1.27509,1.27509,1.27509
-2024-05-28 21:01:00,,,,
+2024-05-28 21:01:00,1.27509,1.27509,1.27509,1.27509
 2024-05-28 21:02:00,1.27518,1.27518,1.27518,1.27518
-2024-05-28 21:03:00,,,,
+2024-05-28 21:03:00,1.27518,1.27518,1.27518,1.27518
 2024-05-28 21:04:00,1.27527,1.27527,1.27527,1.27527
 2024-05-28 21:05:00,1.27518,1.27527,1.27323,1.27384
 2024-05-28 21:06:00,1.27373,1.27473,1.27323,1.27469
@@ -41585,7 +41585,7 @@ Timestamp,open,high,low,close
 2024-05-29 21:03:00,1.26972,1.26979,1.26972,1.26979
 2024-05-29 21:04:00,1.26979,1.2698,1.26979,1.2698
 2024-05-29 21:05:00,1.26981,1.26981,1.26981,1.26981
-2024-05-29 21:06:00,,,,
+2024-05-29 21:06:00,1.26981,1.26981,1.26981,1.26981
 2024-05-29 21:07:00,1.26982,1.26982,1.26982,1.26982
 2024-05-29 21:08:00,1.26987,1.26995,1.26987,1.26995
 2024-05-29 21:09:00,1.26996,1.26996,1.26996,1.26996
@@ -43021,12 +43021,12 @@ Timestamp,open,high,low,close
 2024-05-30 20:59:00,1.27281,1.27324,1.27262,1.27278
 2024-05-30 21:00:00,1.27236,1.27236,1.27172,1.27172
 2024-05-30 21:01:00,1.27175,1.27177,1.27175,1.27177
-2024-05-30 21:02:00,,,,
+2024-05-30 21:02:00,1.27175,1.27177,1.27175,1.27177
 2024-05-30 21:03:00,1.27214,1.27214,1.27214,1.27214
-2024-05-30 21:04:00,,,,
+2024-05-30 21:04:00,1.27214,1.27214,1.27214,1.27214
 2024-05-30 21:05:00,1.27213,1.27255,1.27213,1.27251
 2024-05-30 21:06:00,1.2724,1.27244,1.27229,1.27229
-2024-05-30 21:07:00,,,,
+2024-05-30 21:07:00,1.2724,1.27244,1.27229,1.27229
 2024-05-30 21:08:00,1.27236,1.27236,1.27232,1.27233
 2024-05-30 21:09:00,1.27254,1.27263,1.27244,1.27263
 2024-05-30 21:10:00,1.2728,1.2728,1.27222,1.27258
diff --git a/tests/unit/assets/GBPUSD-2024-05_5Min.csv b/tests/unit/assets/GBPUSD-2024-05_5Min.csv
index 486bc00..c2b25c4 100644
--- a/tests/unit/assets/GBPUSD-2024-05_5Min.csv
+++ b/tests/unit/assets/GBPUSD-2024-05_5Min.csv
@@ -1,4 +1,4 @@
-Timestamp,open,high,low,close
+Timestamp,Open,High,Low,Close
 2024-05-01 00:00:00,1.24883,1.24906,1.24878,1.24901
 2024-05-01 00:05:00,1.24904,1.24911,1.24891,1.24902
 2024-05-01 00:10:00,1.24903,1.24906,1.24868,1.24872
diff --git a/tests/unit/conftest.py b/tests/unit/conftest.py
index a7d78d5..2a82b33 100644
--- a/tests/unit/conftest.py
+++ b/tests/unit/conftest.py
@@ -1,9 +1,10 @@
 import numpy as np
 import pandas as pd
 import pytest
+from pytrade.data import IInstrumentData
 from pytrade.events.event import Event
-from pytrade.models.indicator import Indicator
-from pytrade.models.instruments import FxInstrument, Granularity, IInstrumentData
+from pytrade.indicator import Indicator
+from pytrade.instruments import FxInstrument, Granularity
 
 from pytradebacktest.data import CsvDataSource, CsvMarketDataLoader, MarketData
 
@@ -114,3 +115,13 @@ def test_fx_universe(test_csv_sources):
 @pytest.fixture(scope="function")
 def test_stock_universe(test_stock_sources):
     return MarketData(CsvMarketDataLoader(test_stock_sources))
+
+
+@pytest.fixture(scope="function")
+def backtest_indicator():
+    pass
+
+
+@pytest.fixture(scope="function")
+def backtest_strategy():
+    pass
diff --git a/tests/unit/resources/__init__.py b/tests/unit/resources/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/unit/resources/indicators.py b/tests/unit/resources/indicators.py
new file mode 100644
index 0000000..962f17e
--- /dev/null
+++ b/tests/unit/resources/indicators.py
@@ -0,0 +1,108 @@
+from numbers import Number
+from typing import Sequence
+
+import pandas as pd
+from pytrade.indicator import Indicator
+from pytrade.instruments import CandleSubscription, FxInstrument, Granularity
+from pytrade.interfaces.data import IInstrumentData
+from pytrade.strategy import FxStrategy
+
+BACKTEST_INSTRUMENT = FxInstrument.EURUSD
+BACKTEST_GRANULARITY = Granularity.M5
+
+
+class BacktestIndicator(Indicator):
+
+    def _run(self, *args, **kwargs):
+        return self._data.Open > self._data.Close
+
+
+class BacktestStrategy(FxStrategy):
+
+    @property
+    def subscriptions(self) -> list[CandleSubscription]:
+        """
+        Declare the `InstrumentSubscription`s this strategy should use
+        for its signals
+        """
+        return [CandleSubscription(BACKTEST_INSTRUMENT, BACKTEST_GRANULARITY)]
+
+    def _init(self) -> None:
+        """
+        Create indicators to be used for signals in the `_next` method.
+        """
+        data = self.get_data(BACKTEST_INSTRUMENT, BACKTEST_GRANULARITY)
+        self.test_indicator = BacktestIndicator(data)
+
+    def _next(self) -> None:
+        """
+        Evaluate indicators and submit orders to the broker
+        """
+        if self.test_indicator:
+            self.sell(1)
+        else:
+            self.buy(1)
+
+
+def crossover(series1: Sequence, series2: Sequence) -> bool:
+    """
+    Return `True` if `series1` just crossed over (above)
+    `series2`.
+
+        >>> crossover(self.data.Close, self.sma)
+        True
+    """
+    series1 = (
+        series1.values
+        if isinstance(series1, pd.Series)
+        else (series1, series1) if isinstance(series1, Number) else series1
+    )
+    series2 = (
+        series2.values
+        if isinstance(series2, pd.Series)
+        else (series2, series2) if isinstance(series2, Number) else series2
+    )
+    try:
+        return series1[-2] < series2[-2] and series1[-1] > series2[-1]
+    except IndexError:
+        return False
+
+
+class Sma(Indicator):
+
+    def __init__(self, data: IInstrumentData, period: int):
+        self._period = period
+        super().__init__(data)
+
+    def _run(self):
+        return pd.Series(self._data.Close).rolling(self._period).mean()
+
+
+class SmaCross(FxStrategy):
+
+    fast = 10
+    slow = 30
+
+    @property
+    def subscriptions(self) -> list[CandleSubscription]:
+        """
+        Declare the `InstrumentSubscription`s this strategy should use
+        for its signals
+        """
+        return [CandleSubscription("GOOG", Granularity.D1)]
+
+    def _init(self) -> None:
+        """
+        Create indicators to be used for signals in the `_next` method.
+        """
+        data = self.get_data("GOOG", Granularity.D1)
+        self.sma1 = Sma(data, self.fast)
+        self.sma2 = Sma(data, self.slow)
+
+    def _next(self):
+        if crossover(self.sma1._values, self.sma2._values):
+            # self.position.close()
+            self.buy("GOOG", 10)
+        elif crossover(self.sma2._values, self.sma1._values):
+            # self.position.close()
+            self.sell("GOOG", 10)
diff --git a/tests/unit/test_backtest.py b/tests/unit/test_backtest.py
index 8b3ecea..f1919f6 100644
--- a/tests/unit/test_backtest.py
+++ b/tests/unit/test_backtest.py
@@ -1,49 +1,16 @@
+from unittest.mock import patch
+
 import pytest
-from pytrade.models.indicator import Indicator
-from pytrade.models.instruments import CandleSubscription, FxInstrument, Granularity
-from pytrade.strategy import FxStrategy
 
 from pytradebacktest.backtest import Backtest
-
-BACKTEST_INSTRUMENT = FxInstrument.EURUSD
-BACKTEST_GRANULARITY = Granularity.M5
-
-
-class BacktestIndicator(Indicator):
-
-    def _run(self, *args, **kwargs):
-        return self._data.Open > self._data.Close
-
-
-class BacktestStrategy(FxStrategy):
-
-    @property
-    def subscriptions(self) -> list[CandleSubscription]:
-        """
-        Declare the `InstrumentSubscription`s this strategy should use
-        for its signals
-        """
-        return [CandleSubscription(BACKTEST_INSTRUMENT, BACKTEST_GRANULARITY)]
-
-    def _init(self) -> None:
-        """
-        Create indicators to be used for signals in the `_next` method.
-        """
-        data = self.get_data(BACKTEST_INSTRUMENT, BACKTEST_GRANULARITY)
-        self.test_indicator = BacktestIndicator(data)
-
-    def _next(self) -> None:
-        """
-        Evaluate indicators and submit orders to the broker
-        """
-        if self.test_indicator:
-            self.sell(1)
-        else:
-            self.buy(1)
+from tests.unit.resources.indicators import SmaCross
 
 
+@patch("pytradebacktest.backtest.BacktestBroker.order")
 @pytest.mark.asyncio
-async def test_backtest_increments_indicator(test_fx_universe):
+async def test_backtest_trade_count(mock_order, test_stock_universe):
 
-    test = Backtest(test_fx_universe, BacktestStrategy, 10000)
+    test = Backtest(test_stock_universe, SmaCross, 10000)
     await test.run()
+
+    assert mock_order.call_count == 66
diff --git a/tests/unit/test_backtest_broker.py b/tests/unit/test_backtest_broker.py
new file mode 100644
index 0000000..40d90b0
--- /dev/null
+++ b/tests/unit/test_backtest_broker.py
@@ -0,0 +1,335 @@
+import pytest
+from pytrade.broker import Order
+from pytrade.instruments import Granularity
+
+from pytradebacktest.broker import BacktestBroker
+from pytradebacktest.data import MarketData
+from pytradebacktest.exceptions import OutOfMoneyError
+
+
+@pytest.mark.parametrize("iterations", [1, 10, 50, 75, 100])
+def test_fill_market_order(iterations, test_stock_universe: MarketData):
+
+    goog_data = test_stock_universe.get("GOOG", Granularity.D1).df.copy()
+    broker = BacktestBroker(test_stock_universe, 100000, 0, 1, False, False, False)
+
+    for _ in range(iterations):
+        test_stock_universe.next()
+
+    broker.order(Order("GOOG", 100))
+
+    broker.next()
+
+    assert len(broker.orders) == 0
+    assert len(broker.trades) == 1
+    trade = broker.trades[0]
+    assert trade.entry_price == goog_data.Open.iloc[iterations - 1]
+
+
+def test_market_order_not_enough_equity(test_stock_universe: MarketData):
+
+    broker = BacktestBroker(test_stock_universe, 100, 0, 1, False, False, False)
+
+    test_stock_universe.next()
+    broker.order(Order("GOOG", 1000))
+    broker.next()
+
+    assert len(broker.orders) == 0
+    assert len(broker.trades) == 0
+
+
+@pytest.mark.parametrize("price_index", [1, 10, 50, 75, 100])
+@pytest.mark.parametrize("buy", [True, False])
+def test_stop_order_conversion(price_index, buy, test_stock_universe: MarketData):
+    goog_data = test_stock_universe.get("GOOG", Granularity.D1).df.copy()
+    broker = BacktestBroker(test_stock_universe, 100000, 0, 1, False, False, False)
+
+    price_timestamp = (
+        goog_data[:price_index].High.idxmax()
+        if buy
+        else goog_data[:price_index].Low.idxmin()
+    )
+    price_idx = goog_data.index.get_loc(price_timestamp)
+    price = goog_data.High.iloc[price_idx] if buy else goog_data.Low.iloc[price_idx]
+    stop = price - 0.01 if buy else price + 0.01  # Set to 1 cent past price
+    size = 100 if buy else -100
+    broker.order(Order("GOOG", size, stop=stop))
+
+    for i in range(price_idx):
+        test_stock_universe.next()
+        assert len(broker.orders) == 1
+        assert len(broker.trades) == 0
+        assert broker.orders[0].stop == stop
+        broker.next()
+
+    # Perform one more iteration
+    test_stock_universe.next()
+    broker.next()
+
+    # Should have executed on the next iteration
+    assert len(broker.orders) == 0
+    assert len(broker.trades) == 1
+    trade = broker.trades[0]
+    assert trade.entry_price == stop
+
+
+@pytest.mark.parametrize("price_index", [1, 10, 50, 75, 100])
+@pytest.mark.parametrize("buy", [True, False])
+def test_limit_order_conversion(price_index, buy, test_stock_universe: MarketData):
+    goog_data = test_stock_universe.get("GOOG", Granularity.D1).df.copy()
+    broker = BacktestBroker(test_stock_universe, 100000, 0, 1, False, False, False)
+
+    price_timestamp = (
+        goog_data[:price_index].Low.idxmin()
+        if buy
+        else goog_data[:price_index].High.idxmax()
+    )
+    price_idx = goog_data.index.get_loc(price_timestamp)
+    price = goog_data.Low.iloc[price_idx] if buy else goog_data.High.iloc[price_idx]
+    limit = price + 0.01 if buy else price - 0.01  # Set to 1 cent past price
+    size = 100 if buy else -100
+    broker.order(Order("GOOG", size, limit=limit))
+
+    for i in range(price_idx):
+        test_stock_universe.next()
+        assert len(broker.orders) == 1
+        assert len(broker.trades) == 0
+        assert broker.orders[0].limit == limit
+        broker.next()
+
+    # Perform one more iteration
+    test_stock_universe.next()
+    broker.next()
+
+    # Should have executed on the next iteration
+    assert len(broker.orders) == 0
+    assert len(broker.trades) == 1
+    trade = broker.trades[0]
+    assert trade.entry_price == limit
+
+
+@pytest.mark.parametrize("index", [1, 10, 50, 75, 100])
+@pytest.mark.parametrize("buy", [True, False])
+def test_stop_loss_order(index, buy, test_stock_universe: MarketData):
+    goog_data = test_stock_universe.get("GOOG", Granularity.D1).df.copy()
+    broker = BacktestBroker(test_stock_universe, 100000, 0, 1, False, False, False)
+
+    stop_timestmap = (
+        goog_data[index:].Low.idxmin() if buy else goog_data[index:].High.idxmax()
+    )
+    stop_idx = goog_data.index.get_loc(stop_timestmap)
+    stop_price = (
+        goog_data.Low.iloc[stop_idx] + 0.01 if buy else goog_data.High.iloc[stop_idx] - 0.01
+    )
+    size = 100 if buy else -100
+    entry_price = goog_data.Open.iloc[index]
+
+    for i in range(index):
+        test_stock_universe.next()
+
+    # Place market order
+    assert len(broker.orders) == 0
+    assert len(broker.trades) == 0
+    broker.order(Order("GOOG", size, stop_loss_on_fill=stop_price))
+    test_stock_universe.next()
+    broker.next()
+
+    assert len(broker.orders) == (1 if stop_idx > index else 0)
+    assert len(broker.trades) == (1 if stop_idx > index else 0)
+
+    for i in range(index, stop_idx):
+        assert len(broker.orders) == 1
+        assert broker.orders[0].stop == stop_price
+        assert len(broker.trades) == 1
+        test_stock_universe.next()
+        broker.next()
+
+    # Should have executed on the last iteration
+    assert len(broker.orders) == 0
+    assert len(broker.trades) == 0
+    assert len(broker.closed_trades) == 1
+    trade = broker.closed_trades[0]
+    assert trade.entry_price == entry_price
+    assert trade.exit_price == stop_price
+
+
+@pytest.mark.parametrize("index", [1, 10, 50, 75, 100])
+@pytest.mark.parametrize("buy", [True, False])
+def test_take_profit_order(index, buy, test_stock_universe: MarketData):
+    goog_data = test_stock_universe.get("GOOG", Granularity.D1).df.copy()
+    broker = BacktestBroker(test_stock_universe, 100000, 0, 1, False, False, False)
+
+    limit_timestmap = (
+        goog_data[index:].High.idxmax() if buy else goog_data[index:].Low.idxmin()
+    )
+    limit_idx = goog_data.index.get_loc(limit_timestmap)
+    limit_price = (
+        goog_data.High.iloc[limit_idx] - 0.01
+        if buy
+        else goog_data.Low.iloc[limit_idx] + 0.01
+    )
+    size = 100 if buy else -100
+    entry_price = goog_data.Open.iloc[index]
+
+    for i in range(index):
+        test_stock_universe.next()
+
+    # Place market order
+    assert len(broker.orders) == 0
+    assert len(broker.trades) == 0
+    broker.order(Order("GOOG", size, take_profit_on_fill=limit_price))
+    test_stock_universe.next()
+    broker.next()
+
+    assert len(broker.orders) == (1 if limit_idx > index else 0)
+    assert len(broker.trades) == (1 if limit_idx > index else 0)
+
+    for i in range(index, limit_idx):
+        if len(broker.orders) == 0:
+            pass
+        assert len(broker.orders) == 1
+        assert broker.orders[0].limit == limit_price
+        assert len(broker.trades) == 1
+        test_stock_universe.next()
+        if i == 2137:
+            pass
+        broker.next()
+
+    # Should have executed on the last iteration
+    assert len(broker.orders) == 0
+    assert len(broker.trades) == 0
+    assert len(broker.closed_trades) == 1
+    trade = broker.closed_trades[0]
+    assert trade.entry_price == entry_price
+    assert trade.exit_price == limit_price
+
+
+def test_negative_equity(test_stock_universe: MarketData):
+    broker = BacktestBroker(test_stock_universe, 200, 0, 1, False, False, False)
+
+    broker.order(Order("GOOG", -1, stop_loss_on_fill=350))
+
+    test_stock_universe.next()
+    broker.next()
+
+    assert len(broker.orders) == 1
+    assert len(broker.trades) == 1
+
+    for _ in range(1, 300):
+        test_stock_universe.next()
+        broker.next()
+
+    test_stock_universe.next()
+    with pytest.raises(OutOfMoneyError):
+        broker.next()
+
+    assert len(broker.closed_trades) == 1
+    assert broker.equity == 0
+    assert broker._cash == 0
+
+
+def test_change_position(test_stock_universe: MarketData):
+    broker = BacktestBroker(test_stock_universe, 10000, 0, 1, False, False, False)
+    goog_position = broker.get_position("GOOG")
+
+    broker.order(Order("GOOG", 100))
+    test_stock_universe.next()
+    broker.next()
+
+    assert len(broker.orders) == 0
+    assert len(broker.trades) == 1
+
+    assert goog_position.is_long is True
+    assert goog_position.size == 100
+    assert goog_position.pl == 0
+    assert goog_position.pl_pct == 0
+    assert len(goog_position.trades) == 1
+
+    broker.order(Order("GOOG", -200))
+    test_stock_universe.next()
+    broker.next()
+
+    assert goog_position.is_long is False
+    assert goog_position.size == -200
+    assert goog_position.pl == 0
+    assert goog_position.pl_pct == 0
+    assert len(goog_position.trades) == 1
+
+
+def test_reduce_position(test_stock_universe: MarketData):
+    broker = BacktestBroker(test_stock_universe, 10000, 0, 1, False, False, False)
+    goog_position = broker.get_position("GOOG")
+
+    broker.order(Order("GOOG", 100))
+    test_stock_universe.next()
+    broker.next()
+
+    assert len(broker.orders) == 0
+    assert len(broker.trades) == 1
+
+    assert goog_position.is_long is True
+    assert goog_position.size == 100
+    assert goog_position.pl == 0
+    assert goog_position.pl_pct == 0
+    assert len(goog_position.trades) == 1
+
+    broker.order(Order("GOOG", -50))
+    test_stock_universe.next()
+    broker.next()
+
+    assert goog_position.is_long is True
+    assert goog_position.size == 50
+    assert goog_position.pl == 0
+    assert goog_position.pl_pct == 0
+
+
+def test_close_position(test_stock_universe: MarketData):
+    broker = BacktestBroker(test_stock_universe, 10000, 0, 1, False, False, False)
+    goog_position = broker.get_position("GOOG")
+
+    broker.order(Order("GOOG", 100))
+    test_stock_universe.next()
+    broker.next()
+
+    assert len(broker.orders) == 0
+    assert len(broker.trades) == 1
+
+    assert goog_position.is_long is True
+    assert goog_position.size == 100
+    assert goog_position.pl == 0
+    assert goog_position.pl_pct == 0
+    assert len(goog_position.trades) == 1
+
+    broker.order(Order("GOOG", -100))
+    test_stock_universe.next()
+    broker.next()
+
+    assert goog_position.is_long is False
+    assert goog_position.is_short is False
+    assert goog_position.size == 0
+    assert goog_position.pl == 0
+    assert goog_position.pl_pct == 0
+
+
+def test_exclusive_orders(test_stock_universe: MarketData):
+    broker = BacktestBroker(test_stock_universe, 10000, 0, 1, False, False, True)
+    broker.order(Order("GOOG", 10))
+    test_stock_universe.next()
+    broker.next()
+
+    assert len(broker.orders) == 0
+    assert len(broker.trades) == 1
+
+    broker.order(Order("GOOG", 20))
+
+    # 1 to close existing position and then the new order
+    assert len(broker.orders) == 2
+    assert len(broker.trades) == 1
+    assert len(broker.closed_trades) == 0
+
+    test_stock_universe.next()
+    broker.next()
+
+    assert len(broker.orders) == 0
+    assert len(broker.trades) == 1
+    assert len(broker.closed_trades) == 1
diff --git a/tests/unit/test_backtest_indicator.py b/tests/unit/test_backtest_indicator.py
new file mode 100644
index 0000000..ee53609
--- /dev/null
+++ b/tests/unit/test_backtest_indicator.py
@@ -0,0 +1,40 @@
+import numpy as np
+from pytrade.indicator import Indicator
+from pytrade.instruments import FxInstrument, Granularity
+
+from pytradebacktest.data import MarketData
+
+
+class OpenIndicator(Indicator):
+
+    def _run(self, *args, **kwargs):
+        return self._data.df.Open
+
+
+def test_indicator_values(data: np.ndarray, indicator: Indicator):
+    assert len(indicator._values) == len(data)
+    assert (indicator._values == data).all()
+
+
+def test_indicator_updates(test_fx_universe: MarketData):
+
+    def increment_indicator(self):
+        if not hasattr(self, "_backtest_values"):
+            self._backtest_values = self._values.copy()
+        self._values = self._backtest_values[: len(self._data)]
+
+    Indicator._update = increment_indicator
+
+    data = test_fx_universe.get(FxInstrument.GBPUSD, Granularity.M1)
+    indicator = OpenIndicator(data)
+
+    data2 = test_fx_universe.get(FxInstrument.GBPUSD, Granularity.M5)
+    indicator2 = OpenIndicator(data2)
+
+    assert len(data) != len(data2)
+
+    while test_fx_universe.next():
+        assert len(indicator._values) == len(data)
+        assert len(indicator2._values) == len(data2)
+        assert data.index == test_fx_universe.index
+        assert data2.index == test_fx_universe.index.floor(freq="5min")
diff --git a/tests/unit/test_strategy.py b/tests/unit/test_backtest_strategy.py
similarity index 62%
rename from tests/unit/test_strategy.py
rename to tests/unit/test_backtest_strategy.py
index b9ff64f..8ed81b7 100644
--- a/tests/unit/test_strategy.py
+++ b/tests/unit/test_backtest_strategy.py
@@ -1,14 +1,13 @@
 from unittest.mock import patch
 
-import pandas as pd
 import pytest
-from pytrade.models.indicator import Indicator
-from pytrade.models.instruments import CandleSubscription, FxInstrument, Granularity
+from pytrade.indicator import Indicator
+from pytrade.instruments import CandleSubscription, FxInstrument, Granularity
+from pytrade.interfaces.data import IInstrumentData
 from pytrade.strategy import FxStrategy
 
 from pytradebacktest.broker import BacktestBroker
 from pytradebacktest.data import MarketData
-from pytradebacktest.strategy import BacktestStrategyWrapper
 
 BACKTEST_INSTRUMENT = FxInstrument.EURUSD
 BACKTEST_GRANULARITY = Granularity.M5
@@ -49,43 +48,56 @@ def _next(self) -> None:
         Evaluate indicators and submit orders to the broker
         """
         if self.eurusd_m5:
-            self.sell(1)
+            self.sell(BACKTEST_INSTRUMENT, 1)
         else:
-            self.buy(1)
+            self.buy(BACKTEST_INSTRUMENT, 1)
 
 
 @pytest.mark.asyncio
 async def test_strategy_indicator_updates(test_fx_universe: MarketData):
 
-    broker = BacktestBroker(test_fx_universe)
+    broker = BacktestBroker(test_fx_universe, 10000, 0, 1)
 
-    strategy = BacktestStrategyWrapper(broker, test_fx_universe, BacktestStrategy)
+    def increment_indicator(self):
+        if not hasattr(self, "_backtest_values"):
+            self._backtest_values = self._values.copy()
+        self._values = self._backtest_values[: len(self._data)]
+
+    Indicator._update = increment_indicator
+
+    strategy = BacktestStrategy(broker, test_fx_universe)
     strategy.init()
 
-    m1_data: pd.DataFrame = test_fx_universe._sources.get(
-        (BACKTEST_INSTRUMENT, Granularity.M1)
-    )
-    m5_data: pd.DataFrame = test_fx_universe._sources.get(
-        (BACKTEST_INSTRUMENT, Granularity.M5)
-    )
+    m1_data: IInstrumentData = test_fx_universe.get(
+        BACKTEST_INSTRUMENT, Granularity.M1
+    ).df.copy()
+    m5_data: IInstrumentData = test_fx_universe.get(
+        BACKTEST_INSTRUMENT, Granularity.M5
+    ).df.copy()
     indicator_data = {"eurusd_m1": m1_data, "eurusd_m5": m5_data}
     expected_indicator_values = {
         "eurusd_m1": m1_data.Open > m1_data.Close,
         "eurusd_m5": m5_data.Open > m5_data.Close,
     }
 
-    for attr, indicator in strategy._indicators:
+    _indicators = {
+        attr: indicator
+        for attr, indicator in strategy.__dict__.items()
+        if isinstance(indicator, Indicator)
+    }.items()
+
+    for attr, indicator in _indicators:
         assert len(indicator._values) == len(indicator_data[attr])
 
     while test_fx_universe.next():
 
-        await strategy.next()
-        for attr, indicator in strategy._indicators:
+        strategy.next()
+        for attr, indicator in _indicators:
             if test_fx_universe.index in indicator._data.df.index:
                 data_i_index = indicator._data.df.index.get_loc(test_fx_universe.index)
                 expected_length = data_i_index + 1
                 assert len(indicator._values) == expected_length
-                assert indicator == expected_indicator_values[attr][data_i_index]
+                assert indicator == expected_indicator_values[attr].iloc[data_i_index]
 
 
 @patch("pytrade.strategy.FxStrategy.sell")
@@ -95,17 +107,24 @@ async def test_strategy_indicator_orders(
     mock_buy, mock_sell, test_fx_universe: MarketData
 ):
 
-    broker = BacktestBroker(test_fx_universe)
+    broker = BacktestBroker(test_fx_universe, 10000, 0, 1)
+
+    def increment_indicator(self):
+        if not hasattr(self, "_backtest_values"):
+            self._backtest_values = self._values.copy()
+        self._values = self._backtest_values[: len(self._data)]
+
+    Indicator._update = increment_indicator
 
-    strategy = BacktestStrategyWrapper(broker, test_fx_universe, BacktestStrategy)
+    strategy = BacktestStrategy(broker, test_fx_universe)
     strategy.init()
 
-    test_data: pd.DataFrame = test_fx_universe._sources.get(
-        (BACKTEST_INSTRUMENT, BACKTEST_GRANULARITY)
-    )
+    test_data = test_fx_universe.get(
+        BACKTEST_INSTRUMENT, BACKTEST_GRANULARITY
+    ).df.copy()
 
     while test_fx_universe.next():
-        await strategy.next()
+        strategy.next()
 
     expected_buy_calls = test_data[test_data.Open <= test_data.Close].count().Open
     expected_sell_calls = test_data[test_data.Open > test_data.Close].count().Open
diff --git a/tests/unit/test_data.py b/tests/unit/test_data.py
index fc5d1a5..317701a 100644
--- a/tests/unit/test_data.py
+++ b/tests/unit/test_data.py
@@ -1,4 +1,4 @@
-from datetime import datetime, timedelta
+from datetime import datetime
 
 from pytradebacktest.data import MarketData
 
@@ -8,16 +8,15 @@ def test_load_market_data(test_fx_universe):
     assert len(data._sources) == 8
 
 
-def test_init_timeframe(test_fx_universe):
+def test_init_index(test_fx_universe):
     data: MarketData = test_fx_universe
 
-    assert data._index == datetime(2024, 4, 30, 23, 59)
-    assert data._granularity == timedelta(minutes=1)
+    assert data._index == datetime(2024, 5, 1)
 
 
 def test_fx_length(test_fx_universe):
-    assert len(test_fx_universe) == 44459
+    assert len(test_fx_universe) == 32940
 
 
 def test_stock_length(test_stock_universe):
-    assert len(test_stock_universe) == 3116
+    assert len(test_stock_universe) == 2148
diff --git a/tests/unit/test_indicator.py b/tests/unit/test_indicator.py
deleted file mode 100644
index 1d847e6..0000000
--- a/tests/unit/test_indicator.py
+++ /dev/null
@@ -1,15 +0,0 @@
-import numpy as np
-from pytrade.models.indicator import Indicator
-
-from pytradebacktest.data import MarketData
-
-
-def test_indicator_values(data: np.ndarray, indicator: Indicator):
-    assert len(indicator._values) == len(data)
-    assert (indicator._values == data).all()
-
-
-def test_indicator_updates(test_fx_universe: MarketData, indicator: Indicator):
-
-    while test_fx_universe.next():
-        pass